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標(biāo)題: Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 10th International C Juan Romero,Tiago Martins,Nereida Rodríguez-Fernán Conference [打印本頁(yè)]

作者: informed    時(shí)間: 2025-3-21 16:33
書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design影響因子(影響力)




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design影響因子(影響力)學(xué)科排名




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書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design被引頻次




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design被引頻次學(xué)科排名




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design年度引用




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design年度引用學(xué)科排名




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design讀者反饋




書(shū)目名稱Artificial Intelligence in Music, Sound, Art and Design讀者反饋學(xué)科排名





作者: 阻塞    時(shí)間: 2025-3-21 21:40
https://doi.org/10.1007/978-3-030-72914-1artificial intelligence; artificial neural network; evolutionary computation; swarm; music; sound; art; des
作者: contrast-medium    時(shí)間: 2025-3-22 01:23

作者: membrane    時(shí)間: 2025-3-22 07:56
Evolving Neural Style Transfer Blendsforded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP-Elites quality/diversity approaches to evolving style transfer blends with particular properties, while maintaining diversity in the population.
作者: 歹徒    時(shí)間: 2025-3-22 12:25

作者: metropolitan    時(shí)間: 2025-3-22 12:53

作者: dapper    時(shí)間: 2025-3-22 20:09

作者: NEEDY    時(shí)間: 2025-3-23 00:43

作者: 粘    時(shí)間: 2025-3-23 03:08
https://doi.org/10.1007/978-3-642-86687-6forded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP-Elites quality/diversity approaches to evolving style transfer blends with particular properties
作者: hermitage    時(shí)間: 2025-3-23 07:56
https://doi.org/10.1007/978-3-642-86687-6 ways, for instance, by highlighting a specific feature in order to ease post-processing analyses by a human or machine. In this work, we show our approach to image enhancement for digital real-estate-marketing. The aesthetic quality of the images for real-estate marketing is critical since it is th
作者: 愛(ài)社交    時(shí)間: 2025-3-23 12:00

作者: Carcinogen    時(shí)間: 2025-3-23 14:19

作者: 緊張過(guò)度    時(shí)間: 2025-3-23 18:16

作者: 酷熱    時(shí)間: 2025-3-24 00:13
https://doi.org/10.1007/978-3-662-61480-8complexity is a core concept in computational approaches to aesthetics. Shannon’s information theory provided an objective measure of complexity, which led to the emergence of various informational theories of aesthetics. However, entropy fails to take into account the spatial characteristics of 2D
作者: 高原    時(shí)間: 2025-3-24 02:32
https://doi.org/10.1007/978-3-662-61480-8sing individual sound events associated with each cell in a three-dimensional grid. Each sound-event is spatialized depending on the orientation of the listener relative to the three-dimensional model. Users can listen to all cells simultaneously or in sequential slices at will. Conceived to be used
作者: Indent    時(shí)間: 2025-3-24 09:12
Horst Müller-Peters,Robert Quinke we expand those approaches by investigating ., which we apply in two case studies to address two key questions: (1) what musical information do chord embeddings capture?; and (2) how might musical applications benefit from them? In our analysis, we show that they capture similarities between chords
作者: 錢財(cái)    時(shí)間: 2025-3-24 12:36

作者: 非實(shí)體    時(shí)間: 2025-3-24 18:23
https://doi.org/10.1007/978-3-662-58328-9nitions, such as complexity in physical systems (entropy), algorithmic measures of information complexity and the field of “complex systems”. We apply a series of different complexity measures to three different generative art datasets and look at the correlations between complexity and individual a
作者: 惡臭    時(shí)間: 2025-3-24 20:10

作者: adj憂郁的    時(shí)間: 2025-3-25 02:10

作者: 樂(lè)意    時(shí)間: 2025-3-25 05:01
,Zwergplaneten und Kleink?rper,but not limited to the fields of Music Information Retrieval, content-based filtering, teaching-learning and so on. A deep learning and signal processing based approach is presented in this work in order to recognise the raga from the audio source using raw spectrograms. The proposed preprocessing s
作者: Dealing    時(shí)間: 2025-3-25 09:34
https://doi.org/10.1007/978-3-662-63590-2o the Semi-Makov Model (HSMM) to integrate such additional contexts as the pitch-class histogram, the beat positions, and the preceding chord sequences. We train our model on a minimally pre-processed dataset in a mixture of major/minor pieces, expecting the models to learn the chord clusters in acc
作者: Vulnerable    時(shí)間: 2025-3-25 14:12
Artificial Intelligence in Music, Sound, Art and Design978-3-030-72914-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: GLARE    時(shí)間: 2025-3-25 15:56
https://doi.org/10.1007/978-3-642-86687-6forded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP-Elites quality/diversity approaches to evolving style transfer blends with particular properties, while maintaining diversity in the population.
作者: 忙碌    時(shí)間: 2025-3-25 22:58
Sculpture Inspired Musical Composition-domain mapping can be an approach to model inspiration. Our approach does not consider the interpretation of the sculpture but rather looks at it abstractly. The results were promising: the majority of the participants gave a classification of 4 out of 5 to the preferred interpretations of the comp
作者: Osteoporosis    時(shí)間: 2025-3-26 00:43

作者: Mechanics    時(shí)間: 2025-3-26 07:16
SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structuresestations. Our model has been implemented as a software application named . for computer-assisted algorithmic composition. It learns variable amounts of musical data from style-agnostic music represented as multiple viewpoints. To evaluate the SyVMO model within ., we adopted the Creative Support In
作者: enlist    時(shí)間: 2025-3-26 10:49
Identification of Pure Painting Pigment Using Machine Learning Algorithmsrom both the paint tubes used and the paintings produced by Portuguese artist Amadeo de Souza Cardoso. It illustrates the rationales and advantages behind the application of more accurate artificial mixing by subtractive mixing on the reference pigments as well as the use of Root Mean Square Error (
作者: 愉快嗎    時(shí)間: 2025-3-26 15:22

作者: Rejuvenate    時(shí)間: 2025-3-26 19:28

作者: Magnitude    時(shí)間: 2025-3-26 22:18

作者: GEM    時(shí)間: 2025-3-27 02:40
Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks is how to automatically please any audience without too much involvement of the said audience in the process of creation. Two-dimensional pictures have received a lot of attention however, 3D artwork has remained relatively unexplored. This paper introduces the Axial Generation Process (AGP), a ver
作者: 孤僻    時(shí)間: 2025-3-27 07:30

作者: 朦朧    時(shí)間: 2025-3-27 12:30

作者: 萬(wàn)花筒    時(shí)間: 2025-3-27 15:59

作者: 透明    時(shí)間: 2025-3-27 18:07
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist At we expand those approaches by investigating ., which we apply in two case studies to address two key questions: (1) what musical information do chord embeddings capture?; and (2) how might musical applications benefit from them? In our analysis, we show that they capture similarities between chords
作者: grieve    時(shí)間: 2025-3-27 22:28

作者: fleeting    時(shí)間: 2025-3-28 03:12

作者: RAG    時(shí)間: 2025-3-28 08:01

作者: 大量殺死    時(shí)間: 2025-3-28 13:22

作者: verdict    時(shí)間: 2025-3-28 15:59
Raga Recognition in Indian Classical Music Using Deep Learningbut not limited to the fields of Music Information Retrieval, content-based filtering, teaching-learning and so on. A deep learning and signal processing based approach is presented in this work in order to recognise the raga from the audio source using raw spectrograms. The proposed preprocessing s
作者: 包租車船    時(shí)間: 2025-3-28 22:09

作者: 共和國(guó)    時(shí)間: 2025-3-28 23:41
Evolving Image Enhancement Pipelines that solves all types of issues encountered. With this in mind, we propose a Genetic Programming approach for the evolution of image enhancement pipelines, based on image filters from the literature. We report a set of experiments in image enhancement of real state images and analysed the results.
作者: 直覺(jué)好    時(shí)間: 2025-3-29 05:54
Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Com neighbouring cells over the lattice of a multi-state 2D cellular automaton. The second model is based on algorithmic information theory (Kolmogorov complexity) which is extended to estimate the complexity of 2D patterns. The spatial complexity measure presents performance advantage over information
作者: 一美元    時(shí)間: 2025-3-29 10:39

作者: Gene408    時(shí)間: 2025-3-29 15:27

作者: STAT    時(shí)間: 2025-3-29 16:04

作者: debase    時(shí)間: 2025-3-29 22:14
https://doi.org/10.1007/978-3-642-86687-6 that solves all types of issues encountered. With this in mind, we propose a Genetic Programming approach for the evolution of image enhancement pipelines, based on image filters from the literature. We report a set of experiments in image enhancement of real state images and analysed the results.
作者: Inelasticity    時(shí)間: 2025-3-29 23:58

作者: Incommensurate    時(shí)間: 2025-3-30 04:27

作者: FRONT    時(shí)間: 2025-3-30 10:22

作者: Electrolysis    時(shí)間: 2025-3-30 15:53

作者: 油膏    時(shí)間: 2025-3-30 20:24

作者: 駁船    時(shí)間: 2025-3-30 22:31

作者: 無(wú)畏    時(shí)間: 2025-3-31 04:28
https://doi.org/10.1007/978-3-642-86687-6able size. The results suggest that . shows great potential to support creative music tasks, namely in assisting the composition process. The use of . allowed the creation of polyphonic music suggestions from style-agnostic sources while maintaining a coherent melodic structure.
作者: meditation    時(shí)間: 2025-3-31 08:39

作者: Toxoid-Vaccines    時(shí)間: 2025-3-31 12:59
https://doi.org/10.1007/978-3-662-61480-8e is missing. Subjective evaluations indicate that the proposed sonification increases the perceived quality and immersability of the system with respect to a visualization-only system. No subjective differences between the sequential or simultaneous presentations were found.
作者: 令人悲傷    時(shí)間: 2025-3-31 14:57
Horst Müller-Peters,Robert Quinke prediction task yields predictions that more closely match those by experienced musicians. In the second case study, we show the potential benefits of using the representations in tasks related to musical stylometrics.
作者: 鑒賞家    時(shí)間: 2025-3-31 20:14

作者: 細(xì)頸瓶    時(shí)間: 2025-3-31 22:45

作者: In-Situ    時(shí)間: 2025-4-1 03:49

作者: 暫時(shí)別動(dòng)    時(shí)間: 2025-4-1 06:50
Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworkse AGP were evaluated against a set of formal aesthetic measures. This evaluation shows that the process is capable of generating visually varied items which generally exhibit a diverse range of values across the measures used, in both two and three dimensions.




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